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SSRN 2022年

作者： Suneera, C.M. Prakash, Jay Kumar Singh, Pramod Dept. of Computer Science and Engineering National Institute of Technology Calicut India ABV - Indian Institute of Information Technology and Management Gwalior India

A Knowledge Graph (KG) is a structured form of knowledge describing real-worldentities, properties, and relationships as a graph. Question Answeringover Knowledge Graphs (KGQA) allows people to ask questions in natural languageand extract answers from KG accurately and more quickly. The maintask of a KGQA is to convert a natural language query to the correspondingstructured query form like SPARQL. However, generating the precise SPARQLquery from a question is a challenging task and is highly error-prone. Here wepropose a question answering framework that uses Knowledge Graph to answersimple questions without using SPARQL. Question classification, dependencyparsing, entity linking, BERT-based relation finding, and answer extraction arethe main modules of the approach. We used the DBpedia as the knowledgegraph and tested the end-to-end system with a subset of QALD-4, LC-QuAD,and SimpleQuestions datasets. © 2022, The Authors. All rights reserved.

关键词： Knowledge graph

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Exploring the Mental State Intersection by Brain-computer Interfaces, Cellular Automata and Biofeedback

Exploring the Mental State Intersection by Brain-Computer In...

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Eurocon

作者： Tommaso Colafiglio Domenico Lofù Paolo Sorino Fabrizio Festa Tommaso Di Noia Eugenio Di Sciascio Dept. of Electrical and Information Engineering (DEI) Politecnico di Bari Bari (Italy) Bari Italy Dept. of Computer Automatic and Management Engineering (DIAG) Sapienza Università di Roma Roma (Italy) Roma Italy Conservatorio di Musica E.R. Duni - Matera Matera (Italy) Matera Italy

Brain-computer Interfaces (BCI) allows systems to be controlled by signals derived from Electroencephalogram (EEG) analysis. Several low-cost electroencephalographs are available on the market that provides high-quality EEG signals. A very interesting approach in this domain is to represent a user's mental state by using an EEG signal. In this paper, we propose a method to represent and describe the user's mental state by exploiting Cellular Automata (CA). Using BCI, CA, and Autoencoder Neural Network we provide a graphical description and audible representation of the current mental state of the user wearing the device. We demonstrated experimentally the capability of generating a representation of the mental states, both CA and sound texture, while at the same time can be exploited as a biofeedback approach.

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Expression of Concern for: Taxi Origin-Destination Demand Prediction using DNN Algorithm with NYU Database

Expression of Concern for: Taxi Origin-Destination Demand Pr...

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Advance Computing and Innovative Technologies in engineering (ICACITE), International Conference on

作者： Kumar A. Shukla Apoorva Reddy Radhey Shyam Meena Shubh Almal School of Computer Science and Engineering Vellore Institute of Technology Vellore Tamil Nadu India Dept. of Industrial and Management Engineering Indian Institute of Technology Kanpur India

ISBN: (数字)9781665437899

ISBN: (纸本)9781665437905

Because of its colossal possible application in huge scope keen transportation frameworks, taxi request expectation has as of late drawn in expanded research interest. Most past methodologies, then again, just considered taxi request forecast in beginning regions, neglecting the demonstrating of the interesting circumstance of objective travellers. We accept that assigning taxicabs to every area ahead of time founded exclusively on taxi beginning interest is wasteful. In this paper, we present a significant and fascinating errand called taxi beginning objective interest expectation, which means to estimate taxi interest between all-area matches from now on. Its key hardships come from delineating how to proficiently gather a wide scope of relevant information to learn request designs. In this paper, a clever Deep Neural Network (DNN) with Deep learning-based models outflanked conventional AI techniques in an assortment of characterization undertakings, including beginning and objective perspectives. Broad tests and examinations on an expansive dataset plainly show that our DNN beats other looked at techniques for foreseeing taxi beginning objective interest.

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IICPilot: An Intelligent Integrated Circuit Backend Design Framework Using Open EDA

arXiv

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arXiv 2024年

作者： Jiang, Zesong Zhang, Qing Liu, Cheng Cheng, Long Li, Huawei Li, Xiaowei SKLP Institute of Computing Technology Chinese Academy of Sciences Beijing China Institute of Advanced Technology University of Science and Technology of China Hefei China Dept. of Computer Science University of Chinese Academy of Sciences Beijing China School of Control and Computer Engineering North China Electric Power University Beijing China

Open-source EDA tools are rapidly advancing, fostering collaboration, innovation, and knowledge sharing within the EDA community. However, the growing complexity of these tools, characterized by numerous design parameters and heuristics, poses a significant barrier to their widespread adoption. This complexity is particularly pronounced in integrated circuit (IC) backend designs, which place substantial demands on engineers’ expertise in EDA tools. To tackle this challenge, we introduce IICPilot, an intelligent IC backend design system based on LLM technology. IICPilot automates various backend design procedures, including script generation, EDA tool invocation, design space exploration of EDA parameters, container-based computing resource allocation, and exception management. By automating these tasks, IICPilot significantly lowers the barrier to entry for open-source EDA tools. Specifically, IICPilot utilizes LangChain’s multi-agent framework to efficiently handle distinct design tasks, enabling flexible enhancements independently. Moreover, IICPilot separates the backend design workflow from specific open-source EDA tools through a unified EDA calling interface. This approach allows seamless integration with different open-source EDA tools like OpenROAD and iEDA, streamlining the backend design and optimization across the EDA tools. © 2024, CC BY-NC-SA.

关键词： Space research

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Analysis and Detection of Melanoma through Collective Intelligence with AI

Analysis and Detection of Melanoma through Collective Intell...

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Annual IEEE Symposium on computer-Based Medical Systems

作者： Enrique Fernández-Morales Carlos L. Sanchez-Bocanegra Rafael Pastor-Vargas José-Juan Pereyra-Rodriguez Juan M. Haut José Alberto Benítez-Andrades Communications and Control Systems Dpt. Computer Science Faculty UNED Madrid Spain Communications and Control Systems Dpt. Computer Science Faculty UNED Malaga Spain Virgen Del Rocio Hospital Universitario Seville Spain School of Tecnology University of Extremadura Cáceres Spain Dept. of Electric Systems and Automatics Engineering Universidad de León León Spain

ISBN: (数字)9798350384727

ISBN: (纸本)9798350384734

Cancer is a widespread global health problem, claiming millions of lives each year, and skin cancer represents a significant threat as it is one of the most common types. Early tumor detection via medical imaging is critical for effective treatment. Leveraging artificial intelligence, particularly novel models like Transformers, presents promising avenues for improved diagnosis. This paper explores the efficacy of a Collective Intelligence approach using AI in classifying cancerous and non-cancerous tumors, aiming to reduce classification errors and support clinical decision-making. We created five different configurations using various datasets to compare the results. The results show solid performance for the CI in the evaluated tasks, reaching up to 75.89% accuracy. The lack of images in certain classes significantly contributes to overfitting. It is suggested to explore data expansion strategies and improve consistency in image capture for future work.

关键词： Accuracy Melanoma Collective intelligence Image capture Transformers Solids Artificial intelligence

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DROPO: Sim-to-Real Transfer with Offline Domain Randomization

arXiv

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arXiv 2022年

作者： Tiboni, Gabriele Arndt, Karol Kyrki, Ville Dept. of Control and Computer Engineering Politecnico di Torino Francesco Ferrucci Street 112 Torino10141 Italy Intelligent Robotics Group Dept. of Electrical Engineering and Automation Aalto University Maarintie 8 Espoo02150 Finland

In recent years, domain randomization over dynamics parameters has gained a lot of traction as a method for sim-to-real transfer of reinforcement learning policies in robotic manipulation;however, finding optimal randomization distributions can be difficult. In this paper, we introduce DROPO, a novel method for estimating domain randomization distributions for safe sim-to-real transfer. Unlike prior work, DROPO only requires a limited, precollected offline dataset of trajectories, and explicitly models parameter uncertainty to match real data using a likelihood-based approach. We demonstrate that DROPO is capable of recovering dynamic parameter distributions in simulation and finding a distribution capable of compensating for an unmodeled phenomenon. We also evaluate the method in two zero-shot sim-to-real transfer scenarios, showing successful domain transfer and improved performance over prior methods. Copyright © 2022, The Authors. All rights reserved.

关键词： Reinforcement learning

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Study of the Shock Loads Effect on the Operation of Multi-Motor Electric Drives of a Rolling Mill with a Second-order Elastic Coupling 5

Study of the Shock Loads Effect on the Operation of Multi-Mo...

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5th IEEE International Conference on Modern Electrical and Energy System, MEES 2023

作者： Tytiuk, Valerii Kalinin, Alexey Druzhinin, Valeriy Kuznetsov, Vitalii Chornyi, Oleksii Busher, Victor Kryvyi Rih National University Department of Electromechanics Kryvyi Rih Ukraine Abylkas Saginov Karaganda Technical University Npjsc Department of Informative Computer Systems Karaganda Kazakhstan Karaganda Industrial University Npjsc Department of Power Engineering Temirtau Kazakhstan Ukrainian State University of Science and Technologies Department of the Electrical Engineering Dnipro Ukraine National University Institute of Electromechanics Energy Saving and Automatic Control Systems Kremenchuk Mykhailo Ostrogradskyi Kremenchuk Ukraine National University "odessa Maritime Academy" Dept. of Electrical Engineering and Electronics Odessa Ukraine

ISBN: (纸本)9798350359787

This paper presents a study for optimizing a hot rolling mill. The paper is devoted to the study of ways to reduce the effect of shock loads of synchronous electric drives of the roughing mill group on the relative lengthening of the metal strip in the inter-stand gap of the rolling stands of the finishing mill group. The elasticity of the metal strip in the inter-stand gap of the rolling mill has a significant impact on the movement of intercoupled multi-motor electric drives of the finishing mill group. Another crucial route of exposure that influences the motion of the electric drives within the finishing mill group involves the electromagnetic connection between the drives in the roughing and finishing mill groups. The impact of the electromagnetically connected circuits is evident through the effect of shock loads from synchronous electric drives on the angular velocity of the direct current electric drives within the finishing mill group. The characteristics of the electromagnetic communication circuit are established by the power grid arrangement and equipment specifications. To assess the quality of work of electric drives of the finishing mill group, it is proposed to use the relative lengthening of the metal strip in the inter-stand gap, which is an important indirect indicator of the quality of rolling. The mathematical model of a hot rolling mill that takes into account both the elasticity of the metal strip that connects the DC electric drives of the finishing group, and the electromagnetic coupling circuit that takes into account the impact loads of synchronous electric drives of the roughing group on the example of the mill 1700 of ArcelorMittal Temirtau JSC was proposed in this paper. Using the mathematical model developed in Simulink software using the methods of planning the experiment, regression models were obtained to establish the dependence of the parameters of overexcitation of a synchronous motor on the magnitude of the voltage sag in the no

关键词： Electric loads

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On the Trade-Offs Between Accuracy, Privacy, and Resilience in Average Consensus Algorithms

On the Trade-Offs Between Accuracy, Privacy, and Resilience ...

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IEEE Conference on Decision and control

作者： Guilherme Ramos André M. H. Teixeira Sérgio Pequito Dept. of Computer Science and Engineering Instituto Superior Técnico University of Lisbon Portugal and Instituto de Telecomunicações Lisbon Portugal Department of Information Technology Division of Systems and Control Uppsala University Sweden

There can be none. In this paper, we address the problem of a set of discrete-time networked agents reaching average consensus privately and resiliently in the presence of a subset of attacked agents. Existing approaches to the problem rely on trade-offs between accuracy, privacy, and resilience, sacrificing one for the others. We show that a separation-like principle for privacy-preserving and resilient discrete-time average consensus is possible. Specifically, we propose a scheme that combines strategies from resilient average consensus and private average consensus, which yields both desired properties. The proposed scheme has polynomial time-complexity on the number of agents and the maximum number of attacked agents. In other words, each agent that is not under attack is able to detect and discard the values of the attacked agents, reaching the average consensus of non-attacked agents while keeping each agent's initial state private. Finally, we demonstrate the effectiveness of the proposed method with numerical results.

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Application of Smart IoT Technology in Project management Scenarios

Application of Smart IoT Technology in Project Management Sc...

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Data Analytics for Business and Industry: Way Towards a Sustainable Economy (ICDABI), International Conference on

作者： Kumeel Rasheed Syed Ammad Akhunzada Younis Said Mohammed Balbehaith Vipin Kumar Oad Aimal Khan Dept. of Management Sciences Bahria University Islamabad Pakistan Dept. of Civil Engineering Monash University Melbourne Australia Dept. of Computer Science COMSATS University Islamabad Pakistan Dept. of Business Management and Law University of Portsmouth Portsmouth United Kingdom Dept. of Civil and Envr. Engg Gdañsk University of Technology Gdañsk Poland

ISBN: (纸本)9781665490597

The report presents a low-cost and flexible solution to control and monitor home and industrial appliances. The popularity of automation devices has increased greatly in recent years due to higher affordability and simplicity through IoT phone and tablet connectivity. For this purpose, we have developed the IoT Outlet: a stand-alone communication unit, used to connect outlets to the internet. The IoT Plug is a power switch which can be accessed via Wi-Fi connection. Users can plug devices into the IoT Plug to remotely switch power on/off, get information of device’s power consumption and local motion status, using wireless commands from the web and Android application. To access IoT Plug, it is connected with a router in Wi-Fi access point mode and control the Plug. An Android-based IoT phone application and Website having the control panels, employs standard operations such as Get and Post requests that return responses to communicate between the remote user and the Plug using PHP MySQL Databases. The main purpose of the paper is for IoT application to control and save power by setting the time scheduling through the controlling interface. Through this IoT device we can control and get feedback from any plugged device. There is a lot of need on large scale industries, laboratories, military fields and real-life situation, where one wants to know the status of the electric operated devices. This project is the building block for the application such as wireless controlling of any appliance that can be plugged in with local voltages i.e. 220V.

关键词： Industries Wireless communication Wireless sensor networks Home appliances Costs Switches Internet of Things

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A Decision Support Framework for Sustainable Waste Disposal Technology Selection

A Decision Support Framework for Sustainable Waste Disposal ...

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Emerging Technologies for Sustainability and Intelligent Systems (ICETSIS), ASU International Conference in

作者： Venkateswara Reddy Lakkireddy R. Madana Mohana B. Rama Ganesh Lakkireddy Udanth Reddy Saikat Gochhait Shrish Chogle Department of Computer Science and Engineering (DS) KG Reddy College of Engineering and Technology Hyderabad India Department of Artificial Intelligence and Data Science Chaitanya Bharathi Institute of Technology Hyderabad India Department of Computer Science and Engineering Sri Venkatesa Perumal College of Engineering and Technology Tirupathi India Dept. of Electronics and Communication Engineering VIT AP University Amaravathi India Symbiosis Institute of Digital and Telecom Management constituent of Symbiosis International Deemed University

Waste Disposal Technology (WDT) selection is a primary issue in Municipal Solid Waste (MSW) that affects the development of the environmental and economic perspectives/aspects, particularly in developing countries. The selection of appropriate WDT is a complex Multi-Attribute Decision-Making (MADM) problem with both qualitative and quantitative elements. The existent MADM approaches with fuzzy sets (removal of uncertainty), different subjective weight methods (significance of attributes), and rank reversal phenomenon leads to improper selection of WDT due to the involvement of different opinions of decision-makers. To avoid this, a Decision Support Framework (DSF) was proposed for optimal WDT selection for the growth of economic and environmental development. The proposed DSF integrates Preference Selection Index (PSI) and a Modified-Comprehensive distance Based Ranking (M-COBRA) approaches to determine the significance of attributes and ranking the alternatives, respectively. The DSF is illustrated using a case study collected from Iran and compared with state-of-the-art MADM approaches. Further, the DSF is validated in terms of sensitivity analysis, rank reversal phenomenon, and Pearson's rank correlation coefficient to ensure the stability of ranking.

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